Fabric defect detection using the improved YOLOv3 model
To improve the detection rate of defect and the fabric product quality, a higher real-time performance fabric defect detection method based on the improved YOLOv3 model is proposed. There are two key steps: first, on the basis of YOLOv3, the dimension clustering of target frames is carried out by co...
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Published in | Journal of engineered fibers and fabrics Vol. 15 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
London, England
SAGE Publications
2020
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Subjects | |
Online Access | Get full text |
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